Article

Identification key genes influence cell cycle process in glioma by bioinformatics analysis

2022-12-29

Abstract excerpt

The aim of the present study was to identify key genes that influence cell cycle in gliomas by bioinformatics analysis, these genes may play an important role in tumorigenesis. We downloaded GSE50161 and GSE4290 from the gene expression omnibus (GEO) dataset and then with the using of GEO Diver web tool, 1882 differential expressed genes (DEGs) included 662 up-regulated genes and 1220 down-regulated genes were ide...

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Literature Corpus work: a460ca3a-4479-5dc0-811c-19acfe8cd610
DOI: 10.21203/rs.3.rs-2366586/v1

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